Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/101963
| Title: | Application of machine learning techniques in fiber-optic communication systems | Authors: | Lau, APT Khan, FN Fan, Q Lu, C |
Issue Date: | 2018 | Source: | Advanced Photonics 2018 (BGPP, IPR, NP, NOMA, Sensors, Networks, SPPCom, SOF), OSA Technical Digest (online) (Optica Publishing Group, 2018), paper SpW4G.1 | Abstract: | We discuss machine learning applications in different aspects of fiber-optic communications including fiber nonlinearity compensation, optical performance monitoring, cognitive fault detection/prevention, and planning and optimization of software-defined networks. | Publisher: | Optica Publishing Group | ISBN: | 978-194358043-9 | DOI: | 10.1364/SPPCom.2018.SpW4G.1 | Description: | Signal Processing in Photonic Communications, SPPCom 2018, Zurich, 2–5 July 2018 | Rights: | Advanced Photonics Congress (BGPP, IPR, NP, Networks, NOMA, Sensors, SOF, SPPCom) © OSA 2018 Posted with permission of the author. The following publication A. P. T. Lau, F. N. Khan, Q. Fan, and C. Lu, "Application of Machine Learning Techniques in Fiber-Optic Communication Systems," in Advanced Photonics 2018 (BGPP, IPR, NP, NOMA, Sensors, Networks, SPPCom, SOF), OSA Technical Digest (online) (Optica Publishing Group, 2018), paper SpW4G.1 is available at https://doi.org/10.1364/SPPCom.2018.SpW4G.1. |
| Appears in Collections: | Conference Paper |
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|---|---|---|---|---|
| SPPCom-2018-SpW4G.1.pdf | 135.69 kB | Adobe PDF | View/Open |
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